MCP server

Fragrance & Perfume MCP (Noteboxd)

com.noteboxd/mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Fragrance & perfume MCP: search fragrances, notes, accords, brands, perfumers, reviews & charts.

Working at last checkVerified publisher: noteboxd.comAbout 5,586 tokens per request once connected27 tools

Source

https://mcp.noteboxd.com/mcp

At a glance

Type: MCP server
Publisher: noteboxd.com (verified by the MCP Registry)
Status: Working at last check
Tools: 27
Token cost: About 5,586 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http noteboxd https://mcp.noteboxd.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.noteboxd]
url = "https://mcp.noteboxd.com/mcp"

Gemini CLI

{"mcpServers":{"noteboxd":{"httpUrl":"https://mcp.noteboxd.com/mcp"}}}

Cursor

{"mcpServers":{"noteboxd":{"url":"https://mcp.noteboxd.com/mcp"}}}

VS Code

{"servers":{"noteboxd":{"type":"http","url":"https://mcp.noteboxd.com/mcp"}}}

Antigravity

agy mcp add noteboxd https://mcp.noteboxd.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"noteboxd","server_url":"https://mcp.noteboxd.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"noteboxd","server_url":"https://mcp.noteboxd.com/mcp"}

Tools

ai_collection ~215 tokens
Generate a curated fragrance collection from a natural-language prompt (e.g. 'office-safe designer scents under $100', 'niche oud masterpieces'). Returns 5–25 grounded picks with rationale. Requires Pro. See also: `ai_recommend` for personalized picks · `fragrance_search` for manual filtering.
ai_recommend ~198 tokens
Get personalized fragrance recommendations based on your taste profile. Optional natural-language prompt to guide results (e.g. 'something fresh for summer'). Requires Pro. See also: `ai_wear_today` for what to wear right now · `user_get_cabinet` for your collection.
ai_wear_today ~205 tokens
What should I wear today? Picks from your owned cabinet (CURRENT status only) based on optional prompt/weather. Returns nothing if your cabinet is empty. Requires Pro. See also: `ai_recommend` for discovery beyond your cabinet · `user_get_cabinet` for your full collection.
brand_get ~180 tokens
Get a brand profile (name, country, founded, description) and its top fragrances. Use the brand slug, e.g. 'maison-francis-kurkdjian'. See also: `fragrance_search` with the `brand` filter to get the full paginated catalogue for this brand · `perfumer_get` if the brand has a known house perfumer.
chart_get ~180 tokens
Get a specific chart leaderboard by slug (e.g. 'top-rated', 'trending', 'top-rated-brand-chanel'). Returns ranked fragrances with scores and movement. See also: `charts_list` to see all available charts · `fragrance_get` for the full profile of any fragrance on the chart.
charts_list ~135 tokens
List all available Noteboxd chart rankings (e.g. top-rated, trending, top by brand). Returns chart names and summary stats. See also: `chart_get` with a chart slug to see the full leaderboard · `trending` for a quick snapshot of what's hot.
fragrance_compare ~329 tokens
Compare two fragrances head-to-head — shared vs. distinct notes/accords/families, community and critic scores, audience, and an AI-written synthesis (shared character, differences, who each suits). Public, cached 7 days per pair. See also: `fragrance_get` for full profiles · `fragrance_similar` for
fragrance_get ~271 tokens
Get the full profile for a single fragrance by UUID or slug (e.g. 'tom-ford/oud-wood'). Returns notes pyramid, accords, FOTW classification, perfumer, community score, and more. See also: `fragrance_similar` for fragrances with similar accord profiles · `fragrance_get_reviews` for community reviews
fragrance_get_reviews ~259 tokens
Get paginated community reviews for a fragrance. Sort by helpfulness, recency, or score. See also: `fragrance_get` for the fragrance's full profile · `fragrance_get_wearing_stats` for aggregate wearing data.
fragrance_get_wearing_stats ~210 tokens
Community wearing counts for a fragrance. Free tier sees the last 30 days; Pro also sees today and the last 7 days. See also: `fragrance_get` for full profile · `fragrance_similar` for alternatives with similar profiles.
fragrance_review_digest ~225 tokens
Get a concise AI-generated digest summarizing a fragrance's community reviews — key themes, consensus, and standout opinions. Public, cached per fragrance. See also: `fragrance_get_reviews` for individual reviews · `fragrance_get` for full profile.
fragrance_search ~511 tokens
Search and filter the Noteboxd fragrance encyclopedia. Requires a query or at least one filter — the full catalogue cannot be listed. Tip: The `q` parameter searches fragrance names OR brand names independently. For best results with a known brand, use the `brand` slug filter instead of including t
fragrance_similar ~174 tokens
Find fragrances with similar accord profiles to a given fragrance. Returns ranked alternatives based on shared accords and character. See also: `fragrance_get` for the source fragrance's full profile · `fragrance_search` with note/accord filters for manual exploration.
note_explore ~193 tokens
Get a note's profile (family, description, origin, extraction method) and top fragrances featuring it, sorted by community score. Use the note slug, e.g. 'oud', 'bergamot', 'iris'. See also: `notes_list` to browse all notes by family/popularity · `fragrance_search` with the `note` filter to find fr
noteboxd_open ~181 tokens
Open the Noteboxd app UI in ChatGPT. Call with no arguments to show the home screen (trending fragrances), with `query` to run a fragrance search inside the app, or with `fragrance` (slug or UUID) to show a fragrance profile. The app renders the returned result; keep the chat reply to one short line
notes_list ~233 tokens
Browse fragrance notes — filter by family (e.g. 'woody', 'floral', 'citrus') and sort by popularity or name. Returns note names, families, colours, and fragrance counts. See also: `note_explore` for a single note's full profile and top fragrances · `fragrance_search` with the `note` filter to find
perfumer_get ~164 tokens
Get a perfumer's profile (bio, country, house affiliation) and their top fragrances by community score. See also: `fragrance_search` to find more fragrances by this perfumer · `brand_get` if you want the brand they work for.
search ~250 tokens
Universal search across all Noteboxd entities — fragrances, brands, notes, perfumers, and collections — in a single call. Best for quick lookups and vague queries. Examples: - "Jacques Polge" → returns the perfumer - "oud" → returns the note, plus top oud fragrances - "Bleu" → returns Bleu de Chane
trending ~134 tokens
What's trending on Noteboxd right now — top search queries, highest-rated fragrances, and most popular notes. No parameters needed. See also: `charts_list` for full ranking leaderboards · `fragrance_search` to explore specific categories.
user_get_cabinet ~224 tokens
Get your fragrance cabinet — fragrances you own, have tried, or finished. Requires a Pro account. See also: `fragrance_get` for full details on any fragrance in your cabinet · `fragrance_similar` to find alternatives to your favourites · `user_get_wishlist` for fragrances you want to try.
user_get_collections ~149 tokens
Get your collections (fragrance lists). Optionally pass a collectionId to see its items. Requires a Pro account. See also: `fragrance_get` for full details on any fragrance in a collection.
user_get_reviews ~162 tokens
Get reviews you've written, or reviews you found helpful. Requires a Pro account. See also: `fragrance_get_reviews` for community reviews on a specific fragrance.
user_get_wearing_history ~145 tokens
Get your wearing check-in history over time. Requires a Pro account. See also: `fragrance_get_wearing_stats` for aggregate community wearing data on a specific fragrance.
user_get_wishlist ~144 tokens
Get your fragrance wishlist. Requires a Pro account. See also: `fragrance_get` for full details on any wishlist fragrance · `user_get_cabinet` for fragrances you already own.
user_taste_compare ~210 tokens
Compare your taste with another user — compatibility score, shared and divergent notes/accords/families, and an optional AI overview. Requires Pro for the overview. See also: `user_taste_public` for a user's top preferences · `user_taste_summary` for your own summary.
user_taste_public ~160 tokens
Get a user's public taste profile — their top notes, accords, and families derived from their collection and reviews. No LLM call, deterministic. See also: `user_taste_compare` for compatibility between two users.
user_taste_summary ~145 tokens
Get your AI-generated taste profile summary — a natural-language description of your fragrance preferences based on your cabinet, reviews, and likes. Requires Pro. See also: `user_taste_public` for the deterministic breakdown · `user_taste_compare` for compatibility.

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